Data processing
Researchers at the University of Technology Sydney have conducted a longitudinal, multi-perspective bibliometric and science mapping analysis of the journal Information Processing & Management (IPM) from 1963 to 2023. Utilizing data from Web of Science and Scopus databases, the study employed various analytical techniques to chart the journal's
Data processing
Current research on Information Technology - Information and Data Processing has been published, highlighting the emergence of Mobile Edge Computing as a transformative technology, enhancing the efficiency of internet community platforms by enabling real-time data processing and analysis at the network's edge. Despite advancements in Mobile Edge Computing,
Privacy
A recent patent application by inventor Emmet Townsend proposes a novel method for privacy preserving data processing in a linked data operating environment. The application, titled "Privacy preserving data processing in a linked data operating environment using Privacy Preserving Data Processing (PPDP) agents," aims to provide a secure
Artificial intelligence
Research from Waseda University, funded by Grants-in-Aid for Scientific Research (KAKENHI) and Telecommunications Advancement Foundation, has developed a contract theory and harmony search optimization algorithm (HSO-Con) for AIoT-enabled green supply chain management. This innovative method optimizes resource allocation in the AIoT environment, reducing network congestion and enhancing supply chain efficiency.
Artificial intelligence
Recent research has highlighted the challenges in developing artificial intelligence (AI) due to the extensive computational resources and large-scale data processing required. The conventional von Neumann digital computing architecture faces inherent limitations in handling big data, primarily due to its sequential data processing nature in vector-matrix multiplication (VMM) and the
Natural language processing
Researchers have long sought ways to enhance the accuracy and utility of compressed multimodal datasets, leveraging cross-modal relationships to recover information lost during compression. A recent patent application by Brian Galvin introduces a novel multimodal data processing system that extends neural compression capabilities by incorporating multiple data modalities and employing
Perovskite
A team of researchers at Hong Kong Polytechnic University has made a significant contribution to the field of neuromorphic systems with their latest study on Leaky Integrate-and-Fire (LIF) neurons. The study proposes a new approach to creating efficient, low-power spiking neural networks (SNNs) by leveraging the unique properties of LIF
